Dataset statistics
| Number of variables | 35 |
|---|---|
| Number of observations | 1470 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 402.1 KiB |
| Average record size in memory | 280.1 B |
Variable types
| Numeric | 15 |
|---|---|
| Categorical | 18 |
| Boolean | 2 |
EmployeeCount has constant value "1" | Constant |
Over18 has constant value "True" | Constant |
StandardHours has constant value "80" | Constant |
Age is highly correlated with TotalWorkingYears | High correlation |
JobLevel is highly correlated with MonthlyIncome and 1 other fields | High correlation |
MonthlyIncome is highly correlated with JobLevel and 1 other fields | High correlation |
PercentSalaryHike is highly correlated with PerformanceRating | High correlation |
PerformanceRating is highly correlated with PercentSalaryHike | High correlation |
TotalWorkingYears is highly correlated with Age and 3 other fields | High correlation |
YearsAtCompany is highly correlated with TotalWorkingYears and 3 other fields | High correlation |
YearsInCurrentRole is highly correlated with YearsAtCompany and 2 other fields | High correlation |
YearsSinceLastPromotion is highly correlated with YearsAtCompany and 1 other fields | High correlation |
YearsWithCurrManager is highly correlated with YearsAtCompany and 1 other fields | High correlation |
Age is highly correlated with JobLevel and 1 other fields | High correlation |
JobLevel is highly correlated with Age and 3 other fields | High correlation |
MonthlyIncome is highly correlated with JobLevel and 2 other fields | High correlation |
PercentSalaryHike is highly correlated with PerformanceRating | High correlation |
PerformanceRating is highly correlated with PercentSalaryHike | High correlation |
TotalWorkingYears is highly correlated with Age and 3 other fields | High correlation |
YearsAtCompany is highly correlated with JobLevel and 5 other fields | High correlation |
YearsInCurrentRole is highly correlated with YearsAtCompany and 2 other fields | High correlation |
YearsSinceLastPromotion is highly correlated with YearsAtCompany and 2 other fields | High correlation |
YearsWithCurrManager is highly correlated with YearsAtCompany and 2 other fields | High correlation |
Age is highly correlated with TotalWorkingYears | High correlation |
JobLevel is highly correlated with MonthlyIncome and 1 other fields | High correlation |
MonthlyIncome is highly correlated with JobLevel and 1 other fields | High correlation |
PercentSalaryHike is highly correlated with PerformanceRating | High correlation |
PerformanceRating is highly correlated with PercentSalaryHike | High correlation |
TotalWorkingYears is highly correlated with Age and 3 other fields | High correlation |
YearsAtCompany is highly correlated with TotalWorkingYears and 2 other fields | High correlation |
YearsInCurrentRole is highly correlated with YearsAtCompany and 1 other fields | High correlation |
YearsWithCurrManager is highly correlated with YearsAtCompany and 1 other fields | High correlation |
Department is highly correlated with StandardHours and 4 other fields | High correlation |
StandardHours is highly correlated with Department and 18 other fields | High correlation |
StockOptionLevel is highly correlated with StandardHours and 3 other fields | High correlation |
Attrition is highly correlated with StandardHours and 2 other fields | High correlation |
JobLevel is highly correlated with StandardHours and 3 other fields | High correlation |
JobInvolvement is highly correlated with StandardHours and 2 other fields | High correlation |
RelationshipSatisfaction is highly correlated with StandardHours and 2 other fields | High correlation |
Education is highly correlated with StandardHours and 2 other fields | High correlation |
EmployeeCount is highly correlated with Department and 18 other fields | High correlation |
WorkLifeBalance is highly correlated with StandardHours and 2 other fields | High correlation |
EducationField is highly correlated with Department and 3 other fields | High correlation |
EnvironmentSatisfaction is highly correlated with StandardHours and 2 other fields | High correlation |
OverTime is highly correlated with StandardHours and 2 other fields | High correlation |
MaritalStatus is highly correlated with StandardHours and 3 other fields | High correlation |
Over18 is highly correlated with Department and 18 other fields | High correlation |
BusinessTravel is highly correlated with StandardHours and 2 other fields | High correlation |
PerformanceRating is highly correlated with StandardHours and 2 other fields | High correlation |
JobSatisfaction is highly correlated with StandardHours and 2 other fields | High correlation |
JobRole is highly correlated with Department and 4 other fields | High correlation |
Gender is highly correlated with StandardHours and 2 other fields | High correlation |
Age is highly correlated with JobLevel and 3 other fields | High correlation |
Department is highly correlated with EducationField and 1 other fields | High correlation |
EducationField is highly correlated with Department and 1 other fields | High correlation |
JobLevel is highly correlated with Age and 6 other fields | High correlation |
JobRole is highly correlated with Department and 4 other fields | High correlation |
MaritalStatus is highly correlated with StockOptionLevel | High correlation |
MonthlyIncome is highly correlated with Age and 4 other fields | High correlation |
PercentSalaryHike is highly correlated with PerformanceRating | High correlation |
PerformanceRating is highly correlated with PercentSalaryHike | High correlation |
StockOptionLevel is highly correlated with MaritalStatus | High correlation |
TotalWorkingYears is highly correlated with Age and 7 other fields | High correlation |
YearsAtCompany is highly correlated with Age and 6 other fields | High correlation |
YearsInCurrentRole is highly correlated with JobLevel and 4 other fields | High correlation |
YearsSinceLastPromotion is highly correlated with TotalWorkingYears and 3 other fields | High correlation |
YearsWithCurrManager is highly correlated with JobLevel and 4 other fields | High correlation |
EmployeeNumber has unique values | Unique |
NumCompaniesWorked has 197 (13.4%) zeros | Zeros |
TrainingTimesLastYear has 54 (3.7%) zeros | Zeros |
YearsAtCompany has 44 (3.0%) zeros | Zeros |
YearsInCurrentRole has 244 (16.6%) zeros | Zeros |
YearsSinceLastPromotion has 581 (39.5%) zeros | Zeros |
YearsWithCurrManager has 263 (17.9%) zeros | Zeros |
Reproduction
| Analysis started | 2021-12-06 21:49:51.250254 |
|---|---|
| Analysis finished | 2021-12-06 21:50:24.002787 |
| Duration | 32.75 seconds |
| Software version | pandas-profiling v3.1.0 |
| Download configuration | config.json |
| Distinct | 43 |
|---|---|
| Distinct (%) | 2.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 36.92380952 |
| Minimum | 18 |
|---|---|
| Maximum | 60 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 11.6 KiB |
Quantile statistics
| Minimum | 18 |
|---|---|
| 5-th percentile | 24 |
| Q1 | 30 |
| median | 36 |
| Q3 | 43 |
| 95-th percentile | 54 |
| Maximum | 60 |
| Range | 42 |
| Interquartile range (IQR) | 13 |
Descriptive statistics
| Standard deviation | 9.135373489 |
|---|---|
| Coefficient of variation (CV) | 0.2474114564 |
| Kurtosis | -0.4041451372 |
| Mean | 36.92380952 |
| Median Absolute Deviation (MAD) | 6 |
| Skewness | 0.4132863019 |
| Sum | 54278 |
| Variance | 83.45504879 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=43)
| Value | Count | Frequency (%) |
| 35 | 78 | 5.3% |
| 34 | 77 | 5.2% |
| 36 | 69 | 4.7% |
| 31 | 69 | 4.7% |
| 29 | 68 | 4.6% |
| 32 | 61 | 4.1% |
| 30 | 60 | 4.1% |
| 38 | 58 | 3.9% |
| 33 | 58 | 3.9% |
| 40 | 57 | 3.9% |
| Other values (33) | 815 |
| Value | Count | Frequency (%) |
| 18 | 8 | 0.5% |
| 19 | 9 | 0.6% |
| 20 | 11 | 0.7% |
| 21 | 13 | 0.9% |
| 22 | 16 | 1.1% |
| 23 | 14 | 1.0% |
| 24 | 26 | |
| 25 | 26 | |
| 26 | 39 | |
| 27 | 48 |
| Value | Count | Frequency (%) |
| 60 | 5 | 0.3% |
| 59 | 10 | |
| 58 | 14 | |
| 57 | 4 | 0.3% |
| 56 | 14 | |
| 55 | 22 | |
| 54 | 18 | |
| 53 | 19 | |
| 52 | 18 | |
| 51 | 19 |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 11.6 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 0 |
| 3rd row | 1 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1233 | |
| 1 | 237 | 16.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 1233 | |
| 1 | 237 | 16.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 11.6 KiB |
| Travel_Rarely | |
|---|---|
| Travel_Frequently | |
| Non-Travel |
Length
| Max length | 17 |
|---|---|
| Median length | 13 |
| Mean length | 13.44761905 |
| Min length | 10 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Travel_Rarely |
|---|---|
| 2nd row | Travel_Frequently |
| 3rd row | Travel_Rarely |
| 4th row | Travel_Frequently |
| 5th row | Travel_Rarely |
Common Values
| Value | Count | Frequency (%) |
| Travel_Rarely | 1043 | |
| Travel_Frequently | 277 | 18.8% |
| Non-Travel | 150 | 10.2% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| travel_rarely | 1043 | |
| travel_frequently | 277 | 18.8% |
| non-travel | 150 | 10.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
DailyRate
Real number (ℝ≥0)
| Distinct | 886 |
|---|---|
| Distinct (%) | 60.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 802.4857143 |
| Minimum | 102 |
|---|---|
| Maximum | 1499 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 11.6 KiB |
Quantile statistics
| Minimum | 102 |
|---|---|
| 5-th percentile | 165.35 |
| Q1 | 465 |
| median | 802 |
| Q3 | 1157 |
| 95-th percentile | 1424.1 |
| Maximum | 1499 |
| Range | 1397 |
| Interquartile range (IQR) | 692 |
Descriptive statistics
| Standard deviation | 403.5090999 |
|---|---|
| Coefficient of variation (CV) | 0.5028240288 |
| Kurtosis | -1.203822808 |
| Mean | 802.4857143 |
| Median Absolute Deviation (MAD) | 344 |
| Skewness | -0.003518568352 |
| Sum | 1179654 |
| Variance | 162819.5937 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 691 | 6 | 0.4% |
| 1082 | 5 | 0.3% |
| 408 | 5 | 0.3% |
| 329 | 5 | 0.3% |
| 530 | 5 | 0.3% |
| 1329 | 5 | 0.3% |
| 427 | 4 | 0.3% |
| 1469 | 4 | 0.3% |
| 147 | 4 | 0.3% |
| 1225 | 4 | 0.3% |
| Other values (876) | 1423 |
| Value | Count | Frequency (%) |
| 102 | 1 | 0.1% |
| 103 | 1 | 0.1% |
| 104 | 1 | 0.1% |
| 105 | 1 | 0.1% |
| 106 | 1 | 0.1% |
| 107 | 1 | 0.1% |
| 109 | 1 | 0.1% |
| 111 | 3 | |
| 115 | 1 | 0.1% |
| 116 | 2 |
| Value | Count | Frequency (%) |
| 1499 | 1 | 0.1% |
| 1498 | 1 | 0.1% |
| 1496 | 2 | |
| 1495 | 3 | |
| 1492 | 1 | 0.1% |
| 1490 | 4 | |
| 1488 | 1 | 0.1% |
| 1485 | 3 | |
| 1482 | 1 | 0.1% |
| 1480 | 2 |
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 11.6 KiB |
| Research & Development | |
|---|---|
| Sales | |
| Human Resources | 63 |
Length
| Max length | 22 |
|---|---|
| Median length | 22 |
| Mean length | 16.54217687 |
| Min length | 5 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Sales |
|---|---|
| 2nd row | Research & Development |
| 3rd row | Research & Development |
| 4th row | Research & Development |
| 5th row | Research & Development |
Common Values
| Value | Count | Frequency (%) |
| Research & Development | 961 | |
| Sales | 446 | |
| Human Resources | 63 | 4.3% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| research | 961 | |
| 961 | ||
| development | 961 | |
| sales | 446 | |
| human | 63 | 1.8% |
| resources | 63 | 1.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
DistanceFromHome
Real number (ℝ≥0)
| Distinct | 29 |
|---|---|
| Distinct (%) | 2.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 9.192517007 |
| Minimum | 1 |
|---|---|
| Maximum | 29 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 11.6 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 2 |
| median | 7 |
| Q3 | 14 |
| 95-th percentile | 26 |
| Maximum | 29 |
| Range | 28 |
| Interquartile range (IQR) | 12 |
Descriptive statistics
| Standard deviation | 8.106864436 |
|---|---|
| Coefficient of variation (CV) | 0.8818982254 |
| Kurtosis | -0.2248334049 |
| Mean | 9.192517007 |
| Median Absolute Deviation (MAD) | 5 |
| Skewness | 0.9581179957 |
| Sum | 13513 |
| Variance | 65.72125098 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=29)
| Value | Count | Frequency (%) |
| 2 | 211 | |
| 1 | 208 | |
| 10 | 86 | 5.9% |
| 9 | 85 | 5.8% |
| 3 | 84 | 5.7% |
| 7 | 84 | 5.7% |
| 8 | 80 | 5.4% |
| 5 | 65 | 4.4% |
| 4 | 64 | 4.4% |
| 6 | 59 | 4.0% |
| Other values (19) | 444 |
| Value | Count | Frequency (%) |
| 1 | 208 | |
| 2 | 211 | |
| 3 | 84 | 5.7% |
| 4 | 64 | 4.4% |
| 5 | 65 | 4.4% |
| 6 | 59 | 4.0% |
| 7 | 84 | 5.7% |
| 8 | 80 | 5.4% |
| 9 | 85 | |
| 10 | 86 |
| Value | Count | Frequency (%) |
| 29 | 27 | |
| 28 | 23 | |
| 27 | 12 | |
| 26 | 25 | |
| 25 | 25 | |
| 24 | 28 | |
| 23 | 27 | |
| 22 | 19 | |
| 21 | 18 | |
| 20 | 25 |
| Distinct | 5 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 11.6 KiB |
| 3 | |
|---|---|
| 4 | |
| 2 | |
| 1 | |
| 5 | 48 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 2 |
|---|---|
| 2nd row | 1 |
| 3rd row | 2 |
| 4th row | 4 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 3 | 572 | |
| 4 | 398 | |
| 2 | 282 | |
| 1 | 170 | 11.6% |
| 5 | 48 | 3.3% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 3 | 572 | |
| 4 | 398 | |
| 2 | 282 | |
| 1 | 170 | 11.6% |
| 5 | 48 | 3.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 6 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 11.6 KiB |
| Life Sciences | |
|---|---|
| Medical | |
| Marketing | |
| Technical Degree | |
| Other |
Length
| Max length | 16 |
|---|---|
| Median length | 13 |
| Mean length | 10.53333333 |
| Min length | 5 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Life Sciences |
|---|---|
| 2nd row | Life Sciences |
| 3rd row | Other |
| 4th row | Life Sciences |
| 5th row | Medical |
Common Values
| Value | Count | Frequency (%) |
| Life Sciences | 606 | |
| Medical | 464 | |
| Marketing | 159 | 10.8% |
| Technical Degree | 132 | 9.0% |
| Other | 82 | 5.6% |
| Human Resources | 27 | 1.8% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| life | 606 | |
| sciences | 606 | |
| medical | 464 | |
| marketing | 159 | 7.1% |
| technical | 132 | 5.9% |
| degree | 132 | 5.9% |
| other | 82 | 3.7% |
| human | 27 | 1.2% |
| resources | 27 | 1.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 1 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 11.6 KiB |
| 1 |
|---|
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 1470 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 1 | 1470 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 1470 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1024.865306 |
| Minimum | 1 |
|---|---|
| Maximum | 2068 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 11.6 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 96.45 |
| Q1 | 491.25 |
| median | 1020.5 |
| Q3 | 1555.75 |
| 95-th percentile | 1967.55 |
| Maximum | 2068 |
| Range | 2067 |
| Interquartile range (IQR) | 1064.5 |
Descriptive statistics
| Standard deviation | 602.0243348 |
|---|---|
| Coefficient of variation (CV) | 0.5874180063 |
| Kurtosis | -1.223178906 |
| Mean | 1024.865306 |
| Median Absolute Deviation (MAD) | 533.5 |
| Skewness | 0.01657401958 |
| Sum | 1506552 |
| Variance | 362433.2997 |
| Monotonicity | Strictly increasing |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 2048 | 1 | 0.1% |
| 1368 | 1 | 0.1% |
| 1364 | 1 | 0.1% |
| 1363 | 1 | 0.1% |
| 1362 | 1 | 0.1% |
| 1361 | 1 | 0.1% |
| 1360 | 1 | 0.1% |
| 1358 | 1 | 0.1% |
| 1356 | 1 | 0.1% |
| 1355 | 1 | 0.1% |
| Other values (1460) | 1460 |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 1 |
| Value | Count | Frequency (%) |
| 2068 | 1 | |
| 2065 | 1 | |
| 2064 | 1 | |
| 2062 | 1 | |
| 2061 | 1 | |
| 2060 | 1 | |
| 2057 | 1 | |
| 2056 | 1 | |
| 2055 | 1 | |
| 2054 | 1 |
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 11.6 KiB |
| 3 | |
|---|---|
| 4 | |
| 2 | |
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 2 |
|---|---|
| 2nd row | 3 |
| 3rd row | 4 |
| 4th row | 4 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 3 | 453 | |
| 4 | 446 | |
| 2 | 287 | |
| 1 | 284 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 3 | 453 | |
| 4 | 446 | |
| 2 | 287 | |
| 1 | 284 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 11.6 KiB |
| Male | |
|---|---|
| Female |
Length
| Max length | 6 |
|---|---|
| Median length | 4 |
| Mean length | 4.8 |
| Min length | 4 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Female |
|---|---|
| 2nd row | Male |
| 3rd row | Male |
| 4th row | Female |
| 5th row | Male |
Common Values
| Value | Count | Frequency (%) |
| Male | 882 | |
| Female | 588 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| male | 882 | |
| female | 588 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
HourlyRate
Real number (ℝ≥0)
| Distinct | 71 |
|---|---|
| Distinct (%) | 4.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 65.89115646 |
| Minimum | 30 |
|---|---|
| Maximum | 100 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 11.6 KiB |
Quantile statistics
| Minimum | 30 |
|---|---|
| 5-th percentile | 33 |
| Q1 | 48 |
| median | 66 |
| Q3 | 83.75 |
| 95-th percentile | 97 |
| Maximum | 100 |
| Range | 70 |
| Interquartile range (IQR) | 35.75 |
Descriptive statistics
| Standard deviation | 20.32942759 |
|---|---|
| Coefficient of variation (CV) | 0.3085304415 |
| Kurtosis | -1.196398456 |
| Mean | 65.89115646 |
| Median Absolute Deviation (MAD) | 18 |
| Skewness | -0.0323109529 |
| Sum | 96860 |
| Variance | 413.2856263 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 66 | 29 | 2.0% |
| 42 | 28 | 1.9% |
| 98 | 28 | 1.9% |
| 84 | 28 | 1.9% |
| 48 | 28 | 1.9% |
| 96 | 27 | 1.8% |
| 79 | 27 | 1.8% |
| 57 | 27 | 1.8% |
| 87 | 26 | 1.8% |
| 56 | 26 | 1.8% |
| Other values (61) | 1196 |
| Value | Count | Frequency (%) |
| 30 | 19 | |
| 31 | 15 | |
| 32 | 24 | |
| 33 | 19 | |
| 34 | 12 | |
| 35 | 18 | |
| 36 | 18 | |
| 37 | 18 | |
| 38 | 13 | |
| 39 | 17 |
| Value | Count | Frequency (%) |
| 100 | 19 | |
| 99 | 20 | |
| 98 | 28 | |
| 97 | 21 | |
| 96 | 27 | |
| 95 | 23 | |
| 94 | 22 | |
| 93 | 16 | |
| 92 | 25 | |
| 91 | 18 |
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 11.6 KiB |
| 3 | |
|---|---|
| 2 | |
| 4 | |
| 1 | 83 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 3 |
|---|---|
| 2nd row | 2 |
| 3rd row | 2 |
| 4th row | 3 |
| 5th row | 3 |
Common Values
| Value | Count | Frequency (%) |
| 3 | 868 | |
| 2 | 375 | |
| 4 | 144 | 9.8% |
| 1 | 83 | 5.6% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 3 | 868 | |
| 2 | 375 | |
| 4 | 144 | 9.8% |
| 1 | 83 | 5.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 5 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 11.6 KiB |
| 1 | |
|---|---|
| 2 | |
| 3 | |
| 4 | |
| 5 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 2 |
|---|---|
| 2nd row | 2 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 543 | |
| 2 | 534 | |
| 3 | 218 | |
| 4 | 106 | 7.2% |
| 5 | 69 | 4.7% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 1 | 543 | |
| 2 | 534 | |
| 3 | 218 | |
| 4 | 106 | 7.2% |
| 5 | 69 | 4.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 9 |
|---|---|
| Distinct (%) | 0.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 11.6 KiB |
| Sales Executive | |
|---|---|
| Research Scientist | |
| Laboratory Technician | |
| Manufacturing Director | |
| Healthcare Representative | |
| Other values (4) |
Length
| Max length | 25 |
|---|---|
| Median length | 18 |
| Mean length | 18.0707483 |
| Min length | 7 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Sales Executive |
|---|---|
| 2nd row | Research Scientist |
| 3rd row | Laboratory Technician |
| 4th row | Research Scientist |
| 5th row | Laboratory Technician |
Common Values
| Value | Count | Frequency (%) |
| Sales Executive | 326 | |
| Research Scientist | 292 | |
| Laboratory Technician | 259 | |
| Manufacturing Director | 145 | |
| Healthcare Representative | 131 | |
| Manager | 102 | 6.9% |
| Sales Representative | 83 | 5.6% |
| Research Director | 80 | 5.4% |
| Human Resources | 52 | 3.5% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| sales | 409 | |
| research | 372 | |
| executive | 326 | |
| scientist | 292 | |
| laboratory | 259 | |
| technician | 259 | |
| director | 225 | |
| representative | 214 | |
| manufacturing | 145 | 5.1% |
| healthcare | 131 | 4.6% |
| Other values (3) | 206 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 11.6 KiB |
| 4 | |
|---|---|
| 3 | |
| 1 | |
| 2 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 4 |
|---|---|
| 2nd row | 2 |
| 3rd row | 3 |
| 4th row | 3 |
| 5th row | 2 |
Common Values
| Value | Count | Frequency (%) |
| 4 | 459 | |
| 3 | 442 | |
| 1 | 289 | |
| 2 | 280 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 4 | 459 | |
| 3 | 442 | |
| 1 | 289 | |
| 2 | 280 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 11.6 KiB |
| Married | |
|---|---|
| Single | |
| Divorced |
Length
| Max length | 8 |
|---|---|
| Median length | 7 |
| Mean length | 6.902721088 |
| Min length | 6 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Single |
|---|---|
| 2nd row | Married |
| 3rd row | Single |
| 4th row | Married |
| 5th row | Married |
Common Values
| Value | Count | Frequency (%) |
| Married | 673 | |
| Single | 470 | |
| Divorced | 327 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| married | 673 | |
| single | 470 | |
| divorced | 327 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 1349 |
|---|---|
| Distinct (%) | 91.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 6502.931293 |
| Minimum | 1009 |
|---|---|
| Maximum | 19999 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 11.6 KiB |
Quantile statistics
| Minimum | 1009 |
|---|---|
| 5-th percentile | 2097.9 |
| Q1 | 2911 |
| median | 4919 |
| Q3 | 8379 |
| 95-th percentile | 17821.35 |
| Maximum | 19999 |
| Range | 18990 |
| Interquartile range (IQR) | 5468 |
Descriptive statistics
| Standard deviation | 4707.956783 |
|---|---|
| Coefficient of variation (CV) | 0.7239745541 |
| Kurtosis | 1.005232691 |
| Mean | 6502.931293 |
| Median Absolute Deviation (MAD) | 2199 |
| Skewness | 1.369816681 |
| Sum | 9559309 |
| Variance | 22164857.07 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 2342 | 4 | 0.3% |
| 6142 | 3 | 0.2% |
| 2610 | 3 | 0.2% |
| 2559 | 3 | 0.2% |
| 6347 | 3 | 0.2% |
| 2404 | 3 | 0.2% |
| 3452 | 3 | 0.2% |
| 5562 | 3 | 0.2% |
| 2451 | 3 | 0.2% |
| 2741 | 3 | 0.2% |
| Other values (1339) | 1439 |
| Value | Count | Frequency (%) |
| 1009 | 1 | |
| 1051 | 1 | |
| 1052 | 1 | |
| 1081 | 1 | |
| 1091 | 1 | |
| 1102 | 1 | |
| 1118 | 1 | |
| 1129 | 1 | |
| 1200 | 1 | |
| 1223 | 1 |
| Value | Count | Frequency (%) |
| 19999 | 1 | |
| 19973 | 1 | |
| 19943 | 1 | |
| 19926 | 1 | |
| 19859 | 1 | |
| 19847 | 1 | |
| 19845 | 1 | |
| 19833 | 1 | |
| 19740 | 1 | |
| 19717 | 1 |
MonthlyRate
Real number (ℝ≥0)
| Distinct | 1427 |
|---|---|
| Distinct (%) | 97.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 14313.1034 |
| Minimum | 2094 |
|---|---|
| Maximum | 26999 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 11.6 KiB |
Quantile statistics
| Minimum | 2094 |
|---|---|
| 5-th percentile | 3384.55 |
| Q1 | 8047 |
| median | 14235.5 |
| Q3 | 20461.5 |
| 95-th percentile | 25431.9 |
| Maximum | 26999 |
| Range | 24905 |
| Interquartile range (IQR) | 12414.5 |
Descriptive statistics
| Standard deviation | 7117.786044 |
|---|---|
| Coefficient of variation (CV) | 0.4972915967 |
| Kurtosis | -1.2149561 |
| Mean | 14313.1034 |
| Median Absolute Deviation (MAD) | 6206.5 |
| Skewness | 0.01857780789 |
| Sum | 21040262 |
| Variance | 50662878.17 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 4223 | 3 | 0.2% |
| 9150 | 3 | 0.2% |
| 9096 | 2 | 0.1% |
| 13008 | 2 | 0.1% |
| 12858 | 2 | 0.1% |
| 6881 | 2 | 0.1% |
| 23016 | 2 | 0.1% |
| 8952 | 2 | 0.1% |
| 20364 | 2 | 0.1% |
| 22102 | 2 | 0.1% |
| Other values (1417) | 1448 |
| Value | Count | Frequency (%) |
| 2094 | 1 | |
| 2097 | 1 | |
| 2104 | 1 | |
| 2112 | 1 | |
| 2122 | 1 | |
| 2125 | 2 | |
| 2137 | 1 | |
| 2227 | 1 | |
| 2243 | 1 | |
| 2253 | 1 |
| Value | Count | Frequency (%) |
| 26999 | 1 | |
| 26997 | 1 | |
| 26968 | 1 | |
| 26959 | 1 | |
| 26956 | 1 | |
| 26933 | 1 | |
| 26914 | 1 | |
| 26897 | 1 | |
| 26894 | 1 | |
| 26862 | 1 |
| Distinct | 10 |
|---|---|
| Distinct (%) | 0.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.693197279 |
| Minimum | 0 |
|---|---|
| Maximum | 9 |
| Zeros | 197 |
| Zeros (%) | 13.4% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 11.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 1 |
| median | 2 |
| Q3 | 4 |
| 95-th percentile | 8 |
| Maximum | 9 |
| Range | 9 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 2.498009006 |
|---|---|
| Coefficient of variation (CV) | 0.9275254455 |
| Kurtosis | 0.01021381669 |
| Mean | 2.693197279 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 1.026471112 |
| Sum | 3959 |
| Variance | 6.240048994 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 1 | 521 | |
| 0 | 197 | 13.4% |
| 3 | 159 | 10.8% |
| 2 | 146 | 9.9% |
| 4 | 139 | 9.5% |
| 7 | 74 | 5.0% |
| 6 | 70 | 4.8% |
| 5 | 63 | 4.3% |
| 9 | 52 | 3.5% |
| 8 | 49 | 3.3% |
| Value | Count | Frequency (%) |
| 0 | 197 | 13.4% |
| 1 | 521 | |
| 2 | 146 | 9.9% |
| 3 | 159 | 10.8% |
| 4 | 139 | 9.5% |
| 5 | 63 | 4.3% |
| 6 | 70 | 4.8% |
| 7 | 74 | 5.0% |
| 8 | 49 | 3.3% |
| 9 | 52 | 3.5% |
| Value | Count | Frequency (%) |
| 9 | 52 | 3.5% |
| 8 | 49 | 3.3% |
| 7 | 74 | 5.0% |
| 6 | 70 | 4.8% |
| 5 | 63 | 4.3% |
| 4 | 139 | 9.5% |
| 3 | 159 | 10.8% |
| 2 | 146 | 9.9% |
| 1 | 521 | |
| 0 | 197 | 13.4% |
| Distinct | 1 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.6 KiB |
| True |
|---|
| Value | Count | Frequency (%) |
| True | 1470 |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.6 KiB |
| False | |
|---|---|
| True |
| Value | Count | Frequency (%) |
| False | 1054 | |
| True | 416 | 28.3% |
| Distinct | 15 |
|---|---|
| Distinct (%) | 1.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 15.20952381 |
| Minimum | 11 |
|---|---|
| Maximum | 25 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 11.6 KiB |
Quantile statistics
| Minimum | 11 |
|---|---|
| 5-th percentile | 11 |
| Q1 | 12 |
| median | 14 |
| Q3 | 18 |
| 95-th percentile | 22 |
| Maximum | 25 |
| Range | 14 |
| Interquartile range (IQR) | 6 |
Descriptive statistics
| Standard deviation | 3.659937717 |
|---|---|
| Coefficient of variation (CV) | 0.2406346025 |
| Kurtosis | -0.3005982221 |
| Mean | 15.20952381 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 0.8211279756 |
| Sum | 22358 |
| Variance | 13.39514409 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=15)
| Value | Count | Frequency (%) |
| 11 | 210 | |
| 13 | 209 | |
| 14 | 201 | |
| 12 | 198 | |
| 15 | 101 | |
| 18 | 89 | |
| 17 | 82 | 5.6% |
| 16 | 78 | 5.3% |
| 19 | 76 | 5.2% |
| 22 | 56 | 3.8% |
| Other values (5) | 170 |
| Value | Count | Frequency (%) |
| 11 | 210 | |
| 12 | 198 | |
| 13 | 209 | |
| 14 | 201 | |
| 15 | 101 | |
| 16 | 78 | 5.3% |
| 17 | 82 | 5.6% |
| 18 | 89 | |
| 19 | 76 | 5.2% |
| 20 | 55 | 3.7% |
| Value | Count | Frequency (%) |
| 25 | 18 | 1.2% |
| 24 | 21 | 1.4% |
| 23 | 28 | 1.9% |
| 22 | 56 | |
| 21 | 48 | |
| 20 | 55 | |
| 19 | 76 | |
| 18 | 89 | |
| 17 | 82 | |
| 16 | 78 |
PerformanceRating
Categorical
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATION| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 11.6 KiB |
| 3 | |
|---|---|
| 4 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 3 |
|---|---|
| 2nd row | 4 |
| 3rd row | 3 |
| 4th row | 3 |
| 5th row | 3 |
Common Values
| Value | Count | Frequency (%) |
| 3 | 1244 | |
| 4 | 226 | 15.4% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 3 | 1244 | |
| 4 | 226 | 15.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 11.6 KiB |
| 3 | |
|---|---|
| 4 | |
| 2 | |
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 4 |
| 3rd row | 2 |
| 4th row | 3 |
| 5th row | 4 |
Common Values
| Value | Count | Frequency (%) |
| 3 | 459 | |
| 4 | 432 | |
| 2 | 303 | |
| 1 | 276 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 3 | 459 | |
| 4 | 432 | |
| 2 | 303 | |
| 1 | 276 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 1 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 11.6 KiB |
| 80 |
|---|
Length
| Max length | 2 |
|---|---|
| Median length | 2 |
| Mean length | 2 |
| Min length | 2 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 80 |
|---|---|
| 2nd row | 80 |
| 3rd row | 80 |
| 4th row | 80 |
| 5th row | 80 |
Common Values
| Value | Count | Frequency (%) |
| 80 | 1470 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 80 | 1470 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 11.6 KiB |
| 0 | |
|---|---|
| 1 | |
| 2 | |
| 3 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 1 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 631 | |
| 1 | 596 | |
| 2 | 158 | 10.7% |
| 3 | 85 | 5.8% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 631 | |
| 1 | 596 | |
| 2 | 158 | 10.7% |
| 3 | 85 | 5.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 40 |
|---|---|
| Distinct (%) | 2.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 11.27959184 |
| Minimum | 0 |
|---|---|
| Maximum | 40 |
| Zeros | 11 |
| Zeros (%) | 0.7% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 11.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 6 |
| median | 10 |
| Q3 | 15 |
| 95-th percentile | 28 |
| Maximum | 40 |
| Range | 40 |
| Interquartile range (IQR) | 9 |
Descriptive statistics
| Standard deviation | 7.780781676 |
|---|---|
| Coefficient of variation (CV) | 0.6898105701 |
| Kurtosis | 0.9182695366 |
| Mean | 11.27959184 |
| Median Absolute Deviation (MAD) | 4 |
| Skewness | 1.117171853 |
| Sum | 16581 |
| Variance | 60.54056348 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=40)
| Value | Count | Frequency (%) |
| 10 | 202 | 13.7% |
| 6 | 125 | 8.5% |
| 8 | 103 | 7.0% |
| 9 | 96 | 6.5% |
| 5 | 88 | 6.0% |
| 7 | 81 | 5.5% |
| 1 | 81 | 5.5% |
| 4 | 63 | 4.3% |
| 12 | 48 | 3.3% |
| 3 | 42 | 2.9% |
| Other values (30) | 541 |
| Value | Count | Frequency (%) |
| 0 | 11 | 0.7% |
| 1 | 81 | |
| 2 | 31 | 2.1% |
| 3 | 42 | 2.9% |
| 4 | 63 | |
| 5 | 88 | |
| 6 | 125 | |
| 7 | 81 | |
| 8 | 103 | |
| 9 | 96 |
| Value | Count | Frequency (%) |
| 40 | 2 | 0.1% |
| 38 | 1 | 0.1% |
| 37 | 4 | |
| 36 | 6 | |
| 35 | 3 | 0.2% |
| 34 | 5 | |
| 33 | 7 | |
| 32 | 9 | |
| 31 | 9 | |
| 30 | 7 |
| Distinct | 7 |
|---|---|
| Distinct (%) | 0.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.799319728 |
| Minimum | 0 |
|---|---|
| Maximum | 6 |
| Zeros | 54 |
| Zeros (%) | 3.7% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 11.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 2 |
| median | 3 |
| Q3 | 3 |
| 95-th percentile | 5 |
| Maximum | 6 |
| Range | 6 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 1.289270621 |
|---|---|
| Coefficient of variation (CV) | 0.4605656896 |
| Kurtosis | 0.494992986 |
| Mean | 2.799319728 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 0.5531241711 |
| Sum | 4115 |
| Variance | 1.662218734 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 2 | 547 | |
| 3 | 491 | |
| 4 | 123 | 8.4% |
| 5 | 119 | 8.1% |
| 1 | 71 | 4.8% |
| 6 | 65 | 4.4% |
| 0 | 54 | 3.7% |
| Value | Count | Frequency (%) |
| 0 | 54 | 3.7% |
| 1 | 71 | 4.8% |
| 2 | 547 | |
| 3 | 491 | |
| 4 | 123 | 8.4% |
| 5 | 119 | 8.1% |
| 6 | 65 | 4.4% |
| Value | Count | Frequency (%) |
| 6 | 65 | 4.4% |
| 5 | 119 | 8.1% |
| 4 | 123 | 8.4% |
| 3 | 491 | |
| 2 | 547 | |
| 1 | 71 | 4.8% |
| 0 | 54 | 3.7% |
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 11.6 KiB |
| 3 | |
|---|---|
| 2 | |
| 4 | |
| 1 | 80 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 3 |
| 3rd row | 3 |
| 4th row | 3 |
| 5th row | 3 |
Common Values
| Value | Count | Frequency (%) |
| 3 | 893 | |
| 2 | 344 | 23.4% |
| 4 | 153 | 10.4% |
| 1 | 80 | 5.4% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 3 | 893 | |
| 2 | 344 | 23.4% |
| 4 | 153 | 10.4% |
| 1 | 80 | 5.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
YearsAtCompany
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONZEROS| Distinct | 37 |
|---|---|
| Distinct (%) | 2.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 7.008163265 |
| Minimum | 0 |
|---|---|
| Maximum | 40 |
| Zeros | 44 |
| Zeros (%) | 3.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 11.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 3 |
| median | 5 |
| Q3 | 9 |
| 95-th percentile | 20 |
| Maximum | 40 |
| Range | 40 |
| Interquartile range (IQR) | 6 |
Descriptive statistics
| Standard deviation | 6.126525152 |
|---|---|
| Coefficient of variation (CV) | 0.8741984056 |
| Kurtosis | 3.935508756 |
| Mean | 7.008163265 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | 1.764529454 |
| Sum | 10302 |
| Variance | 37.53431044 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=37)
| Value | Count | Frequency (%) |
| 5 | 196 | |
| 1 | 171 | |
| 3 | 128 | |
| 2 | 127 | |
| 10 | 120 | |
| 4 | 110 | 7.5% |
| 7 | 90 | 6.1% |
| 9 | 82 | 5.6% |
| 8 | 80 | 5.4% |
| 6 | 76 | 5.2% |
| Other values (27) | 290 |
| Value | Count | Frequency (%) |
| 0 | 44 | 3.0% |
| 1 | 171 | |
| 2 | 127 | |
| 3 | 128 | |
| 4 | 110 | |
| 5 | 196 | |
| 6 | 76 | 5.2% |
| 7 | 90 | |
| 8 | 80 | |
| 9 | 82 |
| Value | Count | Frequency (%) |
| 40 | 1 | 0.1% |
| 37 | 1 | 0.1% |
| 36 | 2 | 0.1% |
| 34 | 1 | 0.1% |
| 33 | 5 | |
| 32 | 3 | |
| 31 | 3 | |
| 30 | 1 | 0.1% |
| 29 | 2 | 0.1% |
| 27 | 2 | 0.1% |
YearsInCurrentRole
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONZEROS| Distinct | 19 |
|---|---|
| Distinct (%) | 1.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.229251701 |
| Minimum | 0 |
|---|---|
| Maximum | 18 |
| Zeros | 244 |
| Zeros (%) | 16.6% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 11.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 2 |
| median | 3 |
| Q3 | 7 |
| 95-th percentile | 11 |
| Maximum | 18 |
| Range | 18 |
| Interquartile range (IQR) | 5 |
Descriptive statistics
| Standard deviation | 3.623137035 |
|---|---|
| Coefficient of variation (CV) | 0.856685128 |
| Kurtosis | 0.4774207735 |
| Mean | 4.229251701 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | 0.9173631563 |
| Sum | 6217 |
| Variance | 13.12712197 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=19)
| Value | Count | Frequency (%) |
| 2 | 372 | |
| 0 | 244 | |
| 7 | 222 | |
| 3 | 135 | 9.2% |
| 4 | 104 | 7.1% |
| 8 | 89 | 6.1% |
| 9 | 67 | 4.6% |
| 1 | 57 | 3.9% |
| 6 | 37 | 2.5% |
| 5 | 36 | 2.4% |
| Other values (9) | 107 | 7.3% |
| Value | Count | Frequency (%) |
| 0 | 244 | |
| 1 | 57 | 3.9% |
| 2 | 372 | |
| 3 | 135 | 9.2% |
| 4 | 104 | 7.1% |
| 5 | 36 | 2.4% |
| 6 | 37 | 2.5% |
| 7 | 222 | |
| 8 | 89 | 6.1% |
| 9 | 67 | 4.6% |
| Value | Count | Frequency (%) |
| 18 | 2 | 0.1% |
| 17 | 4 | 0.3% |
| 16 | 7 | 0.5% |
| 15 | 8 | 0.5% |
| 14 | 11 | 0.7% |
| 13 | 14 | 1.0% |
| 12 | 10 | 0.7% |
| 11 | 22 | 1.5% |
| 10 | 29 | |
| 9 | 67 |
| Distinct | 16 |
|---|---|
| Distinct (%) | 1.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.187755102 |
| Minimum | 0 |
|---|---|
| Maximum | 15 |
| Zeros | 581 |
| Zeros (%) | 39.5% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 11.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 1 |
| Q3 | 3 |
| 95-th percentile | 9 |
| Maximum | 15 |
| Range | 15 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 3.222430279 |
|---|---|
| Coefficient of variation (CV) | 1.472939213 |
| Kurtosis | 3.612673115 |
| Mean | 2.187755102 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 1.984289983 |
| Sum | 3216 |
| Variance | 10.3840569 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=16)
| Value | Count | Frequency (%) |
| 0 | 581 | |
| 1 | 357 | |
| 2 | 159 | 10.8% |
| 7 | 76 | 5.2% |
| 4 | 61 | 4.1% |
| 3 | 52 | 3.5% |
| 5 | 45 | 3.1% |
| 6 | 32 | 2.2% |
| 11 | 24 | 1.6% |
| 8 | 18 | 1.2% |
| Other values (6) | 65 | 4.4% |
| Value | Count | Frequency (%) |
| 0 | 581 | |
| 1 | 357 | |
| 2 | 159 | 10.8% |
| 3 | 52 | 3.5% |
| 4 | 61 | 4.1% |
| 5 | 45 | 3.1% |
| 6 | 32 | 2.2% |
| 7 | 76 | 5.2% |
| 8 | 18 | 1.2% |
| 9 | 17 | 1.2% |
| Value | Count | Frequency (%) |
| 15 | 13 | 0.9% |
| 14 | 9 | 0.6% |
| 13 | 10 | 0.7% |
| 12 | 10 | 0.7% |
| 11 | 24 | 1.6% |
| 10 | 6 | 0.4% |
| 9 | 17 | 1.2% |
| 8 | 18 | 1.2% |
| 7 | 76 | |
| 6 | 32 |
YearsWithCurrManager
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONZEROS| Distinct | 18 |
|---|---|
| Distinct (%) | 1.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.123129252 |
| Minimum | 0 |
|---|---|
| Maximum | 17 |
| Zeros | 263 |
| Zeros (%) | 17.9% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 11.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 2 |
| median | 3 |
| Q3 | 7 |
| 95-th percentile | 10 |
| Maximum | 17 |
| Range | 17 |
| Interquartile range (IQR) | 5 |
Descriptive statistics
| Standard deviation | 3.568136121 |
|---|---|
| Coefficient of variation (CV) | 0.8653951654 |
| Kurtosis | 0.1710580839 |
| Mean | 4.123129252 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | 0.833450992 |
| Sum | 6061 |
| Variance | 12.73159537 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=18)
| Value | Count | Frequency (%) |
| 2 | 344 | |
| 0 | 263 | |
| 7 | 216 | |
| 3 | 142 | |
| 8 | 107 | 7.3% |
| 4 | 98 | 6.7% |
| 1 | 76 | 5.2% |
| 9 | 64 | 4.4% |
| 5 | 31 | 2.1% |
| 6 | 29 | 2.0% |
| Other values (8) | 100 | 6.8% |
| Value | Count | Frequency (%) |
| 0 | 263 | |
| 1 | 76 | 5.2% |
| 2 | 344 | |
| 3 | 142 | |
| 4 | 98 | 6.7% |
| 5 | 31 | 2.1% |
| 6 | 29 | 2.0% |
| 7 | 216 | |
| 8 | 107 | 7.3% |
| 9 | 64 | 4.4% |
| Value | Count | Frequency (%) |
| 17 | 7 | 0.5% |
| 16 | 2 | 0.1% |
| 15 | 5 | 0.3% |
| 14 | 5 | 0.3% |
| 13 | 14 | 1.0% |
| 12 | 18 | 1.2% |
| 11 | 22 | 1.5% |
| 10 | 27 | 1.8% |
| 9 | 64 | |
| 8 | 107 |
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
First rows
| Age | Attrition | BusinessTravel | DailyRate | Department | DistanceFromHome | Education | EducationField | EmployeeCount | EmployeeNumber | EnvironmentSatisfaction | Gender | HourlyRate | JobInvolvement | JobLevel | JobRole | JobSatisfaction | MaritalStatus | MonthlyIncome | MonthlyRate | NumCompaniesWorked | Over18 | OverTime | PercentSalaryHike | PerformanceRating | RelationshipSatisfaction | StandardHours | StockOptionLevel | TotalWorkingYears | TrainingTimesLastYear | WorkLifeBalance | YearsAtCompany | YearsInCurrentRole | YearsSinceLastPromotion | YearsWithCurrManager | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 41 | 1 | Travel_Rarely | 1102 | Sales | 1 | 2 | Life Sciences | 1 | 1 | 2 | Female | 94 | 3 | 2 | Sales Executive | 4 | Single | 5993 | 19479 | 8 | Y | Yes | 11 | 3 | 1 | 80 | 0 | 8 | 0 | 1 | 6 | 4 | 0 | 5 |
| 1 | 49 | 0 | Travel_Frequently | 279 | Research & Development | 8 | 1 | Life Sciences | 1 | 2 | 3 | Male | 61 | 2 | 2 | Research Scientist | 2 | Married | 5130 | 24907 | 1 | Y | No | 23 | 4 | 4 | 80 | 1 | 10 | 3 | 3 | 10 | 7 | 1 | 7 |
| 2 | 37 | 1 | Travel_Rarely | 1373 | Research & Development | 2 | 2 | Other | 1 | 4 | 4 | Male | 92 | 2 | 1 | Laboratory Technician | 3 | Single | 2090 | 2396 | 6 | Y | Yes | 15 | 3 | 2 | 80 | 0 | 7 | 3 | 3 | 0 | 0 | 0 | 0 |
| 3 | 33 | 0 | Travel_Frequently | 1392 | Research & Development | 3 | 4 | Life Sciences | 1 | 5 | 4 | Female | 56 | 3 | 1 | Research Scientist | 3 | Married | 2909 | 23159 | 1 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 8 | 3 | 3 | 8 | 7 | 3 | 0 |
| 4 | 27 | 0 | Travel_Rarely | 591 | Research & Development | 2 | 1 | Medical | 1 | 7 | 1 | Male | 40 | 3 | 1 | Laboratory Technician | 2 | Married | 3468 | 16632 | 9 | Y | No | 12 | 3 | 4 | 80 | 1 | 6 | 3 | 3 | 2 | 2 | 2 | 2 |
| 5 | 32 | 0 | Travel_Frequently | 1005 | Research & Development | 2 | 2 | Life Sciences | 1 | 8 | 4 | Male | 79 | 3 | 1 | Laboratory Technician | 4 | Single | 3068 | 11864 | 0 | Y | No | 13 | 3 | 3 | 80 | 0 | 8 | 2 | 2 | 7 | 7 | 3 | 6 |
| 6 | 59 | 0 | Travel_Rarely | 1324 | Research & Development | 3 | 3 | Medical | 1 | 10 | 3 | Female | 81 | 4 | 1 | Laboratory Technician | 1 | Married | 2670 | 9964 | 4 | Y | Yes | 20 | 4 | 1 | 80 | 3 | 12 | 3 | 2 | 1 | 0 | 0 | 0 |
| 7 | 30 | 0 | Travel_Rarely | 1358 | Research & Development | 24 | 1 | Life Sciences | 1 | 11 | 4 | Male | 67 | 3 | 1 | Laboratory Technician | 3 | Divorced | 2693 | 13335 | 1 | Y | No | 22 | 4 | 2 | 80 | 1 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
| 8 | 38 | 0 | Travel_Frequently | 216 | Research & Development | 23 | 3 | Life Sciences | 1 | 12 | 4 | Male | 44 | 2 | 3 | Manufacturing Director | 3 | Single | 9526 | 8787 | 0 | Y | No | 21 | 4 | 2 | 80 | 0 | 10 | 2 | 3 | 9 | 7 | 1 | 8 |
| 9 | 36 | 0 | Travel_Rarely | 1299 | Research & Development | 27 | 3 | Medical | 1 | 13 | 3 | Male | 94 | 3 | 2 | Healthcare Representative | 3 | Married | 5237 | 16577 | 6 | Y | No | 13 | 3 | 2 | 80 | 2 | 17 | 3 | 2 | 7 | 7 | 7 | 7 |
Last rows
| Age | Attrition | BusinessTravel | DailyRate | Department | DistanceFromHome | Education | EducationField | EmployeeCount | EmployeeNumber | EnvironmentSatisfaction | Gender | HourlyRate | JobInvolvement | JobLevel | JobRole | JobSatisfaction | MaritalStatus | MonthlyIncome | MonthlyRate | NumCompaniesWorked | Over18 | OverTime | PercentSalaryHike | PerformanceRating | RelationshipSatisfaction | StandardHours | StockOptionLevel | TotalWorkingYears | TrainingTimesLastYear | WorkLifeBalance | YearsAtCompany | YearsInCurrentRole | YearsSinceLastPromotion | YearsWithCurrManager | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1460 | 29 | 0 | Travel_Rarely | 468 | Research & Development | 28 | 4 | Medical | 1 | 2054 | 4 | Female | 73 | 2 | 1 | Research Scientist | 1 | Single | 3785 | 8489 | 1 | Y | No | 14 | 3 | 2 | 80 | 0 | 5 | 3 | 1 | 5 | 4 | 0 | 4 |
| 1461 | 50 | 1 | Travel_Rarely | 410 | Sales | 28 | 3 | Marketing | 1 | 2055 | 4 | Male | 39 | 2 | 3 | Sales Executive | 1 | Divorced | 10854 | 16586 | 4 | Y | Yes | 13 | 3 | 2 | 80 | 1 | 20 | 3 | 3 | 3 | 2 | 2 | 0 |
| 1462 | 39 | 0 | Travel_Rarely | 722 | Sales | 24 | 1 | Marketing | 1 | 2056 | 2 | Female | 60 | 2 | 4 | Sales Executive | 4 | Married | 12031 | 8828 | 0 | Y | No | 11 | 3 | 1 | 80 | 1 | 21 | 2 | 2 | 20 | 9 | 9 | 6 |
| 1463 | 31 | 0 | Non-Travel | 325 | Research & Development | 5 | 3 | Medical | 1 | 2057 | 2 | Male | 74 | 3 | 2 | Manufacturing Director | 1 | Single | 9936 | 3787 | 0 | Y | No | 19 | 3 | 2 | 80 | 0 | 10 | 2 | 3 | 9 | 4 | 1 | 7 |
| 1464 | 26 | 0 | Travel_Rarely | 1167 | Sales | 5 | 3 | Other | 1 | 2060 | 4 | Female | 30 | 2 | 1 | Sales Representative | 3 | Single | 2966 | 21378 | 0 | Y | No | 18 | 3 | 4 | 80 | 0 | 5 | 2 | 3 | 4 | 2 | 0 | 0 |
| 1465 | 36 | 0 | Travel_Frequently | 884 | Research & Development | 23 | 2 | Medical | 1 | 2061 | 3 | Male | 41 | 4 | 2 | Laboratory Technician | 4 | Married | 2571 | 12290 | 4 | Y | No | 17 | 3 | 3 | 80 | 1 | 17 | 3 | 3 | 5 | 2 | 0 | 3 |
| 1466 | 39 | 0 | Travel_Rarely | 613 | Research & Development | 6 | 1 | Medical | 1 | 2062 | 4 | Male | 42 | 2 | 3 | Healthcare Representative | 1 | Married | 9991 | 21457 | 4 | Y | No | 15 | 3 | 1 | 80 | 1 | 9 | 5 | 3 | 7 | 7 | 1 | 7 |
| 1467 | 27 | 0 | Travel_Rarely | 155 | Research & Development | 4 | 3 | Life Sciences | 1 | 2064 | 2 | Male | 87 | 4 | 2 | Manufacturing Director | 2 | Married | 6142 | 5174 | 1 | Y | Yes | 20 | 4 | 2 | 80 | 1 | 6 | 0 | 3 | 6 | 2 | 0 | 3 |
| 1468 | 49 | 0 | Travel_Frequently | 1023 | Sales | 2 | 3 | Medical | 1 | 2065 | 4 | Male | 63 | 2 | 2 | Sales Executive | 2 | Married | 5390 | 13243 | 2 | Y | No | 14 | 3 | 4 | 80 | 0 | 17 | 3 | 2 | 9 | 6 | 0 | 8 |
| 1469 | 34 | 0 | Travel_Rarely | 628 | Research & Development | 8 | 3 | Medical | 1 | 2068 | 2 | Male | 82 | 4 | 2 | Laboratory Technician | 3 | Married | 4404 | 10228 | 2 | Y | No | 12 | 3 | 1 | 80 | 0 | 6 | 3 | 4 | 4 | 3 | 1 | 2 |